You can add the argument na.print=" " to print() to make
the missing values print as " " instead of as NA. Some,
but not all print methods support this. E.g.,
> print(c(1,2,NA,4,5,NA), na.print="-")
[1] 1 2 - 4 5 -
> print(matrix(c(1,2,NA,4,5,NA),2), na.print="-")
[,1] [,2] [,3]
[1,]
> Is it possible to get object where missing values aren't replaced with NAs?
Not with read.table, if they are really missing. But you can replace them later
- see below - and if they are marked you can change what read.table considers
to be 'missing'.
> Is it possible to replace NAs with empty
Assuming it is a character variable
test <- c("a", NA, "b")
> test
[1] "a" NA "b"
> test[is.na(test)] <- " "
> test
[1] "a" " " "b"
but if it is numeric this as, as others have said, almost certainly not
what you really wanted to do
On 17/02/2016 10:04, Jan Kacaba wrote:
In my original data
, February 17, 2016 2:01 PM
> To: Jan Kacaba
> Cc: r-help@r-project.org
> Subject: Re: [R] missing values in csv file
>
> On Wed, Feb 17, 2016 at 12:04 PM, Jan Kacaba
> wrote:
>
> > In my original data a csv file I have missing values. If I use
> > read.table the mi
On Wed, Feb 17, 2016 at 12:04 PM, Jan Kacaba wrote:
> In my original data a csv file I have missing values. If I use read.table
> the missing values are replaced by NAs.
>
That is the normal way of dealing with missing values, in R.
Is it possible to get object where missing values aren't repl
In my original data a csv file I have missing values. If I use read.table
the missing values are replaced by NAs.
Is it possible to get object where missing values aren't replaced with NAs?
Is it possible to replace NAs with empty space?
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